How to spot bad data, and know the limitations when it's good by Kayla Matthews via @infomgmt

Accurate and reliable data can bring context to research studies, help people understand trends, aid business managers in knowing what’s working well for achieving company goals and much more. However, not all data is as beneficial as it seems at first.

I completely agree with Kayla's observations. If you have a large enough team I think to reduce the possibility of bias it would be a good practice to get a colleague to prepare the data for you with only a vague idea of what you need. I cannot stress enough that in order to guarantee the quality of your data you need to take it from the system of record, not have had it modified before you receive it, and ensure that you really understand what the data elements really mean.